Participant flow diagram of the DRIFT trial. by Teemu P. Hevonkorpi (11577571)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Between-group differences of mean PRWE with 95% confidence intervals in primarily malaligned DRFs and early malaligned DRFs at 3-month and 12-month follow-up. by Teemu P. Hevonkorpi (11577571)

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Primary and secondary outcomes of the randomized clinical trial groups at 3 months and 12 months. by Teemu P. Hevonkorpi (11577571)

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Baseline characteristics of 291 patients by randomization group. by Teemu P. Hevonkorpi (11577571)

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Adverse events at 12-month follow-up by study group. by Teemu P. Hevonkorpi (11577571)

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Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Feature engineering. by Youli Jiang (15249070)

Elephant seal dive behaviour responds consistently to changes in foraging success regardless of sex or ocean habitat by David Green (10157417)

“…The step for estimating drift rates relies on the slimmingDive package (<a href="https://github.com/farcego/slimmingDive" target="_blank">https://github.com/farcego/slimmingDive</a>).…”

Penguin ease of transport for real vs. fully-compensated travel vectors relative to the ground during the return journey with respect to depth use and prey acquisition. by Richard M. Gunner (12652026)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)